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Human action recognition using boosted EigenActions
Chang Liu
,
Pong C. Yuen
*
*
Corresponding author for this work
Department of Computer Science
Research output
:
Contribution to journal
›
Journal article
›
peer-review
46
Citations (Scopus)
Overview
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Dive into the research topics of 'Human action recognition using boosted EigenActions'. Together they form a unique fingerprint.
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Keyphrases
Human Action Recognition
100%
Human Action
100%
Video Sequences
40%
Weizmann
40%
Information Salience
40%
Publicly Available
20%
Recognition Accuracy
20%
Principal Coordinate Analysis (PCoA)
20%
Spatial-temporal Data
20%
Saliency Map
20%
Action Database
20%
Robustness Testing
20%
Pixel Density
20%
Density Function
20%
AdaBoost Algorithm
20%
Action Units
20%
Action Classifier
20%
Periodic Motion
20%
Motion Cycle
20%
Weak Classifier
20%
Action Image
20%
Bayesian Hypothesis
20%
Multi-class AdaBoost
20%
Computer Science
Video Sequences
100%
human action recognition
100%
Recognition Accuracy
50%
Principle Component Analysis
50%
Temporal Information
50%
Density Function
50%
Periodic Motion
50%
Adaboost Algorithm
50%
Weak Classifier
50%
Engineering
Human Action
100%
Recognition Accuracy
14%
Component Analysis
14%
Test Result
14%
Periodic Motion
14%
Robustness Test
14%
Temporal Information
14%
Adaboost
14%